| CPC H04L 41/0631 (2013.01) [G05B 13/027 (2013.01); G06N 3/08 (2013.01)] | 17 Claims |

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1. A computer-implemented method for classifying an input signal that is ascertained as a function of an output signal of a sensor as to whether or not the input signal has an anomaly, the method comprising:
deciding, as a function of an output signal of an autoencoder to which the input signal is supplied, whether or not the input signal has the anomaly;
wherein:
the autoencoder includes an encoder and a plurality of decoders;
the encoder ascertains an intermediate variable as a function of the input signal;
the plurality of decoders ascertain the output signal as a function of the intermediate variable;
the autoencoder ascertains, for the input signal supplied to the autoencoder, a plurality of hypotheses for reconstruction of the input signal;
each of the plurality of decoders provides a respective one of a plurality of output variables, with a respective one of the plurality of hypotheses being respectively provided to a respective one of the decoders as a function of the output variables; and
the output signal is ascertained as a function of the plurality of hypotheses.
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